为什么用户研究和参与者体验报告对VR运动隐私很重要？

中文摘要 AI 辅助

公共VR游戏排行榜包含由数十万用户上传的跟踪运动记录。一旦上传，这些记录对任何人都可访问，并产生隐私风险（即身份识别和画像分析）。先前的工作提出了修改跟踪运动以降低这些风险的机制。其效用通常通过物理偏差进行评估，其中较小的偏差表示更好的效用，而用户研究则较少见。然而，与用户研究相比，物理偏差在多大程度上解释用户对机制的接受程度仍不清楚。我们通过对三种VR运动隐私机制在五个物理偏差水平下的用户研究来考察这一点。我们发现，用户研究解释的机制接受度变异远大于物理偏差，尽管物理偏差仍然显著。我们还发现，先前的VR体验和对VR隐私机制的接触显著影响接受度。我们建议将物理偏差与用户研究相结合，并报告参与者的先前体验。

英文摘要

Public VR game leaderboards contain tracked motion recordings uploaded by hundreds of thousands of users. Once uploaded, these recordings are accessible to anyone and create privacy risks (i.e., identification and profiling). Prior work has proposed mechanisms that modify tracked movement to reduce these risks. Their utility is commonly evaluated through physical deviation, where smaller deviations indicate better utility, while user studies are less common. However, it remains unclear how well physical deviation explains users' acceptance of a mechanism compared to user studies. We examine this through a user study of three VR motion privacy mechanisms at five physical deviation levels. We find that user studies explain substantially more variation in mechanism acceptance than physical deviation, although physical deviation remains significant. We also find that prior VR experience and exposure to VR privacy mechanisms significantly affect acceptance. We recommend combining physical deviation with user studies and reporting participants' prior experience.

发表机构

• University of Florida（佛罗里达大学）

机构由 AI 辅助整理，请以论文原文为准。